Users try it once and go back to doing things manually
The AI feature launched. The demo was impressive. But a month later, your power users are still copy-pasting into spreadsheets because the AI workflow doesn't fit how they actually work.
AI workflow design ยท UX-driven adoption
Every product is becoming AI-native. But capability alone doesn't drive adoption. Designed workflows do. We take what AI makes possible and shape it into workflows people trust, understand, and reach for every day.
Sound familiar?
The AI feature launched. The demo was impressive. But a month later, your power users are still copy-pasting into spreadsheets because the AI workflow doesn't fit how they actually work.
The model is accurate. But users second-guess every result because there's no confidence signal, no easy way to verify, and no clear path to override when it's wrong.
"It's not working" doesn't mean the model broke. It means users hit an edge case nobody designed for. The AI returned something unexpected and the interface gave them nowhere to go.
Product wants to double down. Engineering wants to simplify. The real issue isn't how much AI you have. It's that the AI you shipped was never designed as a complete workflow.
DAU looks fine. But the AI feature specifically? Usage drops off after onboarding. You're measuring logins, not whether anyone is actually using the thing you built.
It works in isolation. But it doesn't connect to the rest of the user's workflow. There's no trigger, no feedback loop, no reason to come back. It's a feature, not a habit.
These aren't model problems. They're workflow design problems. And they don't get better with more training data or a bigger context window. They get better when someone designs the full loop: the trigger, the AI action, the human checkpoint, and the feedback cycle. As one system.
The process
We embed with your team and design the full workflow, from the moment AI is triggered to the moment a human acts on the output. Prompts, states, trust signals, edge cases, components. Everything your engineers need to build it right the first time.
Week 0
One call. We identify the AI workflow with the highest adoption leverage and cut everything else.
Weeks 1-2
Prompt logic, confidence thresholds, human-AI handoffs, error recovery. Designed as one integrated workflow.
Week 3
Every flow, every state, every component. Documented with adoption metrics baked in from the start.
Week 4
A live walkthrough with your team. You own the spec, the prompts, the workflow logic. No dependencies on us.
You own everything. No lock-in. Ship it however you want.
Fit check
Good fit
Not this time
No hard feelings. We'll point you somewhere better.
About BRZY
BRZY is a small, senior design studio focused on one thing: turning AI capability into workflows people actually adopt. We're not a full-service agency. We don't do brand, marketing, or general product design. We do AI workflows.
Our team has spent years inside enterprise software, where a broken workflow costs real money and "we'll iterate later" means you won't. We bring that same UX discipline to teams building AI-native products. Clear triggers, transparent AI actions, easy human overrides, and trust earned through consistency.
Founded by Bianca, who kept watching smart teams build powerful AI, wrap a chatbot around it, and watch adoption die. The model was never the issue. The workflow was never designed. That's the gap we close.
"AI made the capability gap disappear. The adoption gap is wider than ever. And it's a design problem, not an engineering one."
Point of view
01
An AI feature is a capability. An AI workflow is a habit. We design the full loop: trigger, action, review, feedback. That's what drives adoption, not a single clever screen.
02
Users don't abandon AI because it's wrong. They abandon it because they can't tell when it's wrong. Visible confidence, easy overrides, and graceful fallbacks. That's how you build trust at scale.
03
The hardest UX problem in AI isn't the generation. It's the moment a human has to decide what to do with the output. That handoff is where most workflows break. We design it first.
04
A 99% accurate model that nobody uses is a failed product. We set adoption targets before we design anything. "Resolved without escalation, week over week" over "F1 score."
How it works
Four weeks, clear start and end. Not a retainer. Not staff aug. One AI workflow, designed end-to-end.
No hourly billing. No scope creep. No invoice surprises. The number is the number.
A dedicated senior team works inside your org for the full sprint. No handoffs to juniors. No split attention.
Pricing depends on the workflow. We figure it out on a call. Zero pressure.
Let's talk
One email. One 30-minute call. If we can help close the gap between what your AI can do and what your users actually do with it, you'll know fast.
contact@brzydesign.com